Encyclopedia of Machine Learning

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This comprehensive encyclopedia, with over 250 entries in an A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of machine learning. Most entries in this preeminent work include useful literature references. Topics for the Encyclopedia of Machine Learning were selected by a distinguished international advisory board. These peer-reviewed, highly-structured entries include definitions, illustrations, applications, bibliographies and links to related literature, providing the reader with a portal to more detailed information on any given topic. The style of the entries in the Encyclopedia of Machine Learning is expository and tutorial, making the book a practical resource for machine learning experts, as well as professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest. The authoritative reference is published both in print and online. The print publication includes an index of subjects and authors. The online edition supplements this index with hyperlinks as well as internal hyperlinks to related entries in the text, CrossRef citations, and links to additional significant research.... hierarchical control a a doctor looks aer a set of mechanics who in turn
maintain thousands of air-conditioning systems. Watkins () used a navigator a
helmsman hierarchical control example to illustrate how reinforcement learning
limitations may be overcome. ... (right). is diagram shows a four-room house with
doorways between adjoining rooms and a doorway in the top le room leading
outside.

Title

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Encyclopedia of Machine Learning

Author

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Claude Sammut, Geoffrey I. Webb

Publisher

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Springer Science & Business Media - 2011-03-28

ISBN-13

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